Position Overview We are looking for an experienced Data Enterprise Architect to join our dynamic team The Enterprise Architect works with other IT groups in defining architectures leading projects that cross functional agency systems and other state entities that require coordinating planning and scheduling during project transition development and implementation stages Works under minimal supervision with extensive latitude for the use of initiative and independent judgment ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies We deliver digital solutions built to help accelerate the growth of businesses in various industries by focusing on creating value through innovation Job Responsibilities Work involves planning and analyzing user requirements procedures and problems to automate processing or to improve existing systems Prepare As-Is To Be Gap analysis SWOTs charts diagrams and tables that depict the present and proposed systems in terms of costs benefits derived and tasks accomplished Plans and schedules studies and system implementations Drives and leads initiatives that cross functional agency systems other IT groups and other state entities that require coordinating planning and scheduling during project development and implementation stages Provides the options in the determination and implementation of architectural solutions Provides the design and implementation of new or revised methods that effectively meet agency business needs Evaluates current and future solutions applications technologies and establish overall requirements and planning objectives Provides expertise in the development of and or develops agency Information Technology IT operations and management information system plans Oversees the development analysis and revision of design procedures program codes test procedures and quality standards Plays a critical role in translating business strategy into technical strategy and defines end-to-end technology architectures that support the strategy Provides Architectural expertise on strategic planning actions and policy decisions related to the agency s systems and makes recommendations concerning the direction of the agency s computer and management information systems Analyzes and defines agency disaster recovery responsibilities and procedures Articulates desired future state understand the current state identify gaps between the two states and develop approaches to close these gaps Assists in the preparation of information technology planning and justification Has good experience in developing real time data visualization platform and tools Own and aggressively drive forward MDM Data Governance Big Data and Cloud Data Management Develops data integration processes using the ETL platform eg Biqquery Informatica snowflake Solid experience in emerging and traditional data stack components such as batch and real time data ingestion ETL ELT orchestration tools on-prem and cloud DW Python structured semi and unstructured databases Creating business solutions which utilize the CDI platform and ensure high quality and scalable solutions Work with EA Enterprise Architecture team on standards product roadmap and architecture decisions based on the enterprise blueprint Assist operational teams in troubleshooting activities within a mission critical run-time setting Monitor CDI services and run-time components maintaining consistent high performance High through put and High availability Collaborate with global team members in EIM and IT to deliver MDM Governance team deliverables and capabilities to drive continuous improvement Drive excellence and ensure continuous improvement in quality of deliverables Definition and management of project deliverables whose intent is to optimize usage of data within the organization Collaborate closely with Data Engineering and Product team to execute on the set roadmap of data ingestion integration and data transformation Basic Qualifications At least 8 Years experience in Architecting and Designing Data pipelines and Data Integrations At least 3 years experience in Architecting and and managing large data sets and CDI platforms 3 years developing Big Data Solutions architectures deployments and operations - including design and estimation 4 years of public cloud GCP AWS Azure design and implementation experience 3 years in using GCP pub-sub to build data integration pipelines 6 years in developing python 3 years experience in cloud dataflow and other GCP tools for data engineer Expertise in data models data pipeline concepts and cloud-based infrastructure disciplines such as Kubernetes containerization etc Deep working knowledge of data technologies such as Snowflake Kafka DBT Airflow Kubernetes etc In-depth experience in solutions around data ingestion pipelines data migration data testing validation data cleansing and data modeling We are proud to offer a competitive salary alongside a strong insurance package We pride ourselves on the growth of our employees offering extensive learning and development resources